3D variational autoencoder for fingerprinting microstructure volume elements: Supplementary Data

Supplementary data and model checkpoints for the code found at https://github.com/micmog/lightning-vae3d. This is supplementary material for the paper found at https://arxiv.org/abs/2503.17427. File structure: datasets.zip mlp_data (training and validation data for the fully connected surrogate model - consists of microstructural fingerprints, load paths and stress responses) vae_data (training and validation data used for training the variational autoencoder - stored as .pt files for loading as PyTorch tensors) d3d_3d_train_fz.zip d3d_3d_val_fz.zip checkpoints.zip mlp_checkpoints (contains a checkpoint for the trained fully connected network, which acts as a surrogate model for uniaxial crystal plasticity simulations) vae_checkpoints (contains checkpoints and metadata files for the VAE architecture)